💻 Category

cs

2931 papers

💻 computer science

“Just do register analysis”, they said. “It’ll be easy”, they said: Evaluating the impact of lexico-grammatical tagging systems  on multidimensional analysis

This study systematically evaluates five open-source lexico-grammatical tagging systems for multidimensional analysis, revealing that while they successfully replicate general register distinctions, their resulting dimension scores vary significantly due to inconsistent feature operationalization rather than differences in underlying NLP pipelines.

Andreas Blombach, Marianna Gracheva, Clara Steinfels, Michaela Mahlberg2026-07-16
💻 computer science

Structured Evidence and Vision-Language Models for Interpretable Vision-Only UAV Behavior Analysis

This paper proposes a four-layer framework that enhances vision-only counter-UAV systems by converting tracked trajectories into structured motion evidence and combining them with key-frame mosaics in a vision-language model to generate interpretable behavior labels, urgency estimates, and natural-language rationales, demonstrating that structured trajectory data is the primary driver of accurate UAV behavior analysis.

Keyu Chen, Zihui Xu, Guoqi Li2026-07-16
💻 computer science

A Path Fitting Accuracy Improvement and Evaluation Method Based on Minimum Toll and Multi-dimensional Anomaly Detection Engine

This paper proposes a two-stage path fitting framework that integrates a "minimum toll" principle with a multi-dimensional anomaly detection engine to address gantry data issues in expressway tolling, achieving a 2.1% accuracy improvement and a 70% reduction in billing deviations while introducing a novel dual-indicator evaluation model to ensure result reliability.

Jian Li, Yunfang Zhao, Ke Zhang, Xin Gao, Lexiang Mei, Xiaoyu Guo2026-07-16
💻 computer science

Circuit-Inspired High-Order Neural Networks with Unified Neural Dynamics Modeling for PDE Solving and Visual Perception

The paper introduces CHONN, a modular, circuit-inspired framework that employs Kirchhoff-based cascade composition to create stable, interpretable high-order neural dynamics, thereby outperforming traditional depth-stacking approaches in solving partial differential equations and enhancing visual perception tasks.

Baochang Zhang, Tongfei Chen, JingyinG Yang, Linlin Yang, Juan Zhang, Jinhu Lü, David Doermann, Chunyu Xie, Tian Wang, G (…)2026-07-16
💻 computer science

Physics-Informed AI Framework Enables Generalizable and Reliable Cerebrovascular Hemodynamic Profiling

The paper introduces 4DHemoX, a physics-informed AI framework leveraging a hybrid dataset and a Navier-Stokes-embedded neural architecture to bridge the sim-to-real gap and enable reliable, generalizable, and data-efficient cerebrovascular hemodynamic profiling for clinical applications.

Fen Miao, Chen Chen, Yuan Lin, Yun Zhang, Jiannong Cao, Yingjie He, Jiaqi Huang, Honglei Zhao, Jun Yang, Huiying Liang (…)2026-07-16
💻 computer science

User Interfaces in Machine Learning-Based Decision Support for Emergency Department Triage – A Systematic Review

This systematic review of 25 studies reveals that despite the critical importance of user-centered design, machine learning-based clinical decision support systems for emergency department triaging frequently lack comprehensive interface features, usability testing, and interdisciplinary collaboration, thereby hindering their real-world adoption and effectiveness.

Kirsten Zantvoort, Sylvain Brouwer, Nadine Schlicker, Peter Mross, Andreas Jerrentrup, Martin C. Hirsch, Philipp Russ2026-07-15
💻 computer science

REGAL-Driven Hierarchical Graph Reinforcement Network for Stable and Energy- Efficient Communication in Wireless Sensor Networks

This paper proposes the REGAL-Driven Hierarchical Graph Reinforcement Network (HGRN), a novel framework that integrates Graph Neural Networks, Residual Energy Gradient Attention, Deep Reinforcement Learning, and an Energy-Adaptive Partridge Optimization Algorithm to achieve stable, energy-efficient, and load-balanced communication in large-scale Wireless Sensor Networks, demonstrating superior performance in network lifetime, energy conservation, and packet delivery compared to existing clustering approaches.

Kumar J, Vinoth Kumar P, Bharathi S, Deepan S2026-07-15
💻 computer science

Enhancing Intrusion Detection System Resilience Against Adversarial Evasion Attacks Using Adversarial Training

This paper proposes a hybrid LightGBM-MLP intrusion detection system enhanced through adversarial training with the Fast Gradient Sign Method (FGSM) on the UNSW-NB15 dataset, successfully improving robustness against evasion attacks by maintaining 77.80% accuracy under strong perturbations while incurring only a minimal 6.66% reduction in clean data performance.

MUKUNTH s, VATCHALA S, YOGESH C2026-07-15